{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["victim", "purpose", "trusted entity", "time", "attack pattern", "damage amount", "place", "tool", "attacker"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["time", "issues addressed", "releaser", "supported platform", "patch number", "patch", "vulnerable system version", "common vulnerabilities and exposures"]}, {"event_type": "ransom", "trigger": true, "arguments": ["payment method", "damage amount", "place", "price", "time", "attacker", "tool", "attack pattern"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "capabilities", "vulnerable system owner", "time", "vulnerability", "discoverer", "vulnerable system"]}, {"event_type": "data breach", "trigger": true, "arguments": ["attacker", "attack pattern", "victim", "number of victim", "damage amount", "time", "purpose", "number of data", "place"]}], "input": "At least one victim fell for the 70 fake emails sent during the phishing attempts ."}
{"phishing": [{"trigger": "sent", "arguments": {"victim": "victim", "purpose": "NAN", "trusted entity": "NAN", "time": "NAN", "attack pattern": "NAN", "damage amount": "NAN", "place": "NAN", "tool": "fake emails", "attacker": "NAN"}}], "patch vulnerability": [], "ransom": [], "discover vulnerability": [], "data breach": []}